NG Fellow 1 – SDS Division Chief Data Engineer

UTRO01, United States

Northrop Grumman

Northrop Grumman solves the toughest problems in space, aeronautics, defense and cyberspace to meet the ever evolving needs of our customers worldwide. Our 95,000 employees define possible every day using science, technology and engineering to...

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RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 25% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Fellows are recognized experts in their fields who solve the hardest technical problems while ensuring we retain the hard-won insights needed to perform complex tasks successfully.  These leaders define possible in our most important technical capability areas while identifying and cultivating essential people, processes, and tools.  They are deployed against critical programs and captures, aligned with our sector’s top business priorities, and advance our products and solutions to meet customers’ missions every day.   

  

The ideal candidate will set and drive strategy for a broad set of technical initiatives and be empowered to make decisions that significantly impact annual operating plans (AOP), long-range strategic plan (LRSP) outcomes, and the Technology Roadmap.  The Northrop Grumman Fellow is expected to provide scientific, technical, intellectual leadership, as well as analytical support contributing to the advancement of growth goals.   The candidate must also have a strong grasp of campaign execution, networking strategy, and possess the skills, drive, and judgement to successfully interface with senior leaders/technologists across the company and customer community.   
   
Northrop Grumman Defense Systems Sector Strategic Deterrent Systems Division is seeking an NG Fellow 1 SDS Division Chief Data Engineer who will play an instrumental role in developing, evolving, and leading technological strategy in this skill area for the broader organization.This position will be located in Roy, Utah.

This role may offer a competitive relocation assistance package.

General responsibilities may include but are not limited to:    

  • Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across weapon system design, manufacturing, and sustainment.  

  • Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving through modern technology. 

  • Lead and govern the use of the Program data infrastructure and capabilities to ensure seamless data flow and traceability across engineering, supply chain, and operational systems to include functional allocated and product baseline data from our suppliers.

  • Drive innovation and program adoption of data science, machine learning, and AI to enhance program performance.  

  • Collaborate with engineering and business leaders to align data initiatives with corporate goals, including leveraging AI, digital twins, model-based systems engineering (MBSE), and Industry 4.0 adoption.   

  • Develop and enable program data risks management process in concurrence with program risk management. 

  • Maintain knowledge of current and emerging trends and technologies in data management and analytics and ensure proper utilization where applicable. 

  • Mentor and build a high-performing data team, fostering a culture of technical excellence and innovation.   

  • Serve as a thought leader, representing the company at industry forums, conferences, and with government and commercial partners.   

Leadership Skills: 

  • Demonstrated ability to lead cross-functional teams and ability to interface across disciplines: systems engineering, DevOps, data engineering, and IT. 

  • Strong stakeholder management skills, including presenting solutions to senior leadership. 

  • Experience in leading organizational change and ensuring successful adoption of new technologies and best practices. 

  • Experience mentoring junior engineers and fostering a culture of continuous improvement. 

  • Proven ability to build and lead high-performing teams, including recruitment, performance management, and professional development. 

  • Ability to strategically allocate resources and manage budgets to optimize team performance and deliver value-driven results. 

  • Proven ability to design and implement DevOps frameworks for data teams, improving operational efficiency and reducing time-to-insight. 

  • Experience in leading cloud transformation projects for legacy data systems. 

  • Demonstrated success in driving company-wide data strategy and innovation, aligning technical goals with business objectives. 

  • Ability to influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.

Technical Skills and Core Competencies: 

  • Expertise in data governance, data security, data modeling, and enterprise architecture frameworks. 

  • Experience in understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources. 

  • Data Architecture experience with and understanding of data lakes, warehouses, and/or streaming platforms. 

  • Data Engineering experience with tooling, such as Apache Spark and Kafka, and orchestration tools like Apache Airflow or equivalent. 

  • Continuous Integration/Continuous Deployment experience with CI/CD tools like Jenkins or GitLab tailored for data pipelines

  • Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure. 

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field and 20+ years of related experience; 18+ years of experience with a Masters;  15+ years of experience with a PhD.

  • 10+ years of experience in data infrastructure, DevOps, and data engineering, with 3+ years in a leadership or senior technical role. 

  • Active Secret Security Clearance .

  • Proven track record of architecting and realizing scalable, secure, and cost-effective data platforms preferably utilizing cloud-based platforms.

  • Demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and strong leadership. 

  • Proven track record of providing data driven insights at scale through data engineering, data integration and data science practices. 

  • Strong communication and presentation skills for collaborating with data scientists, engineers, and leadership stakeholders.

  • Ability to travel up to 25%.

Preferred Qualifications: 

  • Master’s degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field. 

  • Active Top-Secret Security Clearance .

  • Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer. 

  • MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows.  

  • Expertise in cloud security best practices, including IAM, encryption, and compliance with frameworks like NIST or FedRAMP. 

  • Knowledge of advanced networking concepts such as VPC peering, VPNs, and load balancing for data-heavy applications. 

Salary Range: $183,800.00 - $275,800.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
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Tags: Airflow Architecture AWS Azure CI/CD Computer Science Data Analytics Data governance Data management Data pipelines Data strategy DevOps Engineering GitLab Jenkins Kafka Machine Learning MLOps PhD Pipelines Security Spark Streaming Travel

Perks/benefits: Career development Competitive pay Conferences Health care Insurance Relocation support Salary bonus Startup environment

Region: North America
Country: United States

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